RESK Security

Networks have Firewalls, AI needs Resk

Resk Ecosystem aims to provide security, confidentiality, and safety in the chaotic world of AI. Resk's mission is to provide open-source tools to protect and satisfy security levels in AI-based infrastructure.

Current tools available:

Resk-LLM: a Python framework to secure AI Models and AI-based apps
ReskCrypt: an open-source project to provide security and confidentiality in model discussions with end-to-end, state-of-the-art security level (ECDSA and AES)

Our Projects

RESK LLM

The RESK LLM library is a set of tools designed to interact securely with OpenAI's language models. It offers advanced features for context management, text cleaning, and protection against potentially malicious injections.

This library is particularly useful for developers who want to integrate OpenAI's language model capabilities into their applications while maintaining a high level of security and control over inputs and outputs.

Installation

pip install resk-llm

GitHub Repository: https://github.com/Resk-Security/Resk-LLM

RESK Monitor

RESK Monitor is a monitoring solution for LLM deployments, offering comprehensive instrumentation and analysis capabilities.

Key Features:

Model Instrumentation
- Enhanced architecture for logit exposure
- Internal metric tracking system
- Function hooking capabilities
Real-time Analysis
- Live error rate calculation
- Behavioral deviation detection
- Statistical anomaly identification
Middleware Integration
- Seamless application integration
- Comprehensive metrics collection
- Performance impact monitoring

RESKCrypt

Project Page: https://crypt.resk.fr

Gnom

Project Page: https://gnom.resk.fr

Funding and Investment

RESK Security is actively seeking funding and investment partnerships to accelerate the development and expansion of our cutting-edge AI security tools.

Enhancing our existing tools: Resk-LLM and ReskCrypt
Developing new innovative solutions for emerging AI security challenges
Expanding our team of expert developers and researchers

FAQ

What is RESK?
RESK is an ecosystem of open-source tools designed to provide security, confidentiality, and safety in the world of AI.

What tools does RESK offer?
RESK currently offers two main tools: Resk-LLM, a Python framework for securing AI models and AI-based apps, and ReskCrypt, an open-source project for secure and confidential model discussions.

How can I use RESK tools for my AI project?
You can download our tools from our GitHub repository. Each tool comes with detailed documentation on how to integrate it into your AI infrastructure.

Is RESK only for large AI systems?
No, RESK is designed to be scalable and can be used for AI systems of any size, from small personal projects to large enterprise solutions.

How does RESK ensure AI security?
RESK uses state-of-the-art encryption methods like ECDSA and AES, and implements best practices in AI security to protect models, data, and communications.

Where can I learn more about RESK?
You can find more information on our GitHub page, in our documentation, or by joining our community Discord server.

How can I contribute to RESK?
We welcome contributions! You can contribute by submitting pull requests on GitHub, reporting issues, or suggesting new features.

Is RESK free to use?
Yes, RESK is open-source and free to use. However, we also offer premium support and custom development services for enterprise needs.